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Temporal difference (TD) learning refers to a class of model-free reinforcement learning methods which learn by bootstrapping from the current estimate of the value function. These methods sample from the environment, like Monte Carlo methods, and perform updates based on current estimates, like dynamic programming methods.
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| schizophrenia or the consequences of pharmacological manipulations of dopamine on learning | instance of | It has also been used to study conditions | 0.80 | text |
| Temporal difference learning | related to External links | Connect Four TDGravity Applet | 0.60 | section |
| Temporal difference learning | related to External links | Archived | 0.60 | section |
| Temporal difference learning | related to External links | Wayback Machine | 0.60 | section |
| Temporal difference learning | related to External links | TD-Leaf | 0.60 | section |
| Temporal difference learning | related to External links | TD-Lambda | 0.60 | section |
| Temporal difference learning | related to External links | Self Learning Meta-Tic-Tac-Toe Archived | 0.60 | section |
| Temporal difference learning | related to External links | Wayback Machine Example | 0.60 | section |
| Temporal difference learning | related to External links | AI | 0.60 | section |
| Temporal difference learning | related to External links | Reinforcement Learning Problem | 0.60 | section |
| Temporal difference learning | related to External links | Q-learningTD-Simulator Temporal | 0.60 | section |
| Temporal difference learning | related to TD-Lambda | TD-Lambda | 0.60 | section |
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